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Tutorial
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Mon 13:00
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Active Learning: From Theory to Practice
Robert Nowak · Steve Hanneke
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Workshop
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Fri 15:00
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Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
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Workshop
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Fri 15:30
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Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
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Oral
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Wed 16:35
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Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour · Anqi Liu · Brian Ziebart
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Oral
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Wed 16:20
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Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
weishi shi · Qi Yu
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Poster
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Wed 18:30
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Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour · Anqi Liu · Brian Ziebart
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Poster
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Wed 18:30
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Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning
weishi shi · Qi Yu
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Poster
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Wed 18:30
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Submodular Observation Selection and Information Gathering for Quadratic Models
Abolfazl Hashemi · Mahsa Ghasemi · Haris Vikalo · Ufuk Topcu
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Poster
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Wed 18:30
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On the Impact of the Activation function on Deep Neural Networks Training
Soufiane Hayou · Arnaud Doucet · Judith Rousseau
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Poster
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Wed 18:30
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Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio
Kaito Fujii · Shinsaku Sakaue
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Poster
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Wed 18:30
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Bayesian Optimization of Composite Functions
Raul Astudillo · Peter I Frazier
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Poster
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Wed 18:30
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Model-Based Active Exploration
Pranav Shyam · Wojciech Jaśkowski · Faustino Gomez
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